mallet: mallet.topic.hclust – R documentation

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mallet.topic.hclust

Return a hierarchical clustering of topics

Description

Returns a hierarchical clustering of topics that can be plotted as a dendrogram. There are two ways of measuring topic similarity: topics may contain the some of the same words, or the may appear in some of the same documents. The balance parameter allows you to interpolate between the similarities determined by these two methods.

Usage

mallet.topic.hclust(doc.topics, topic.words, balance)

Arguments

`doc.topics`	A documents by topics matrix of topic probabilities.
`topic.words`	A topics by words matrix of word probabilities.
`balance`	A value between 0.0 (use only document-level similarity) and 1.0 (use only word-level similarity).

Examples

## Not run: 
topic.labels <- mallet.topic.labels(topic.model, topic.words, 3)
plot(mallet.topic.hclust(doc.topics, topic.words, 0.3), labels=topic.labels)

## End(Not run)

mallet

A wrapper around the Java machine learning tool MALLET

v1.0

MIT + file LICENSE

Authors

David Mimno

Initial release

2013-07-18